a database for gene expression profiling in human single cell by RNA-seq
Single-cell RNA-Seq (scRNA-seq) are an emerging method which facilitates to explore the comprehensive transcriptome in a single cell. To provide a useful and unique reference resource for biology and medicine, we developed the scRNASeqDB database, which contains 36 human single cell gene expression data sets collected from Gene Expression Omnibus (GEO), involving 8910 cells from 174 cell groups. We also provides detailed information for gene expression of cells in different status, as well as some features, including heatmap and boxplot of gene expression, gene correlation matrix, GO and pathway annotations.
You can also submit scRNASeq data sets to our database. Feel free to contact us if you have any questions!
Number of GSE datasets: 38 |
Number of GSM entries: 13440 |
Number of cell groups: 200 |
GSE86982 | REGION-SPECIFIC NEURAL STEM CELL LINEAGES REVEALED BY SINGLE-CELL RNA-SEQ FROM HUMAN EMBRYONIC STEM CELLS [Smart-seq] |
GSE86977 | REGION-SPECIFIC NEURAL STEM CELL LINEAGES REVEALED BY SINGLE-CELL RNA-SEQ FROM HUMAN EMBRYONIC STEM CELLS [Cel-seq] |
GSE77564 | Coupled electrophysiological recording and single-cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation |
Yuan Cao, Junjie Zhu, Guangchun Han, Peilin Jia, Zhongming Zhao. scRNASeqDB: a database for gene expression profiling in human single cell by RNA-seq (in review). bioRxiv |
All expression data of human single cell in scRNASeqDB is currently curated by our team. If you would like to submit data for one of your publications, please find Submission page. |
GSE86982 has been added to our database. | 2017/03/31 |
GSE86977 has been added to our database. | 2017/03/29 |
CIDR has been used to cluster single cells in each dataset. | 2017/03/12 |
Rankprod has been used to rank gene expression across all datasets. | 2017/03/03 |
scRNASeqDB has been launched. | 2016/09/15 |
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If you have any questions, please contact us! |